Meet Jeffrey S. A. Stringer, MD

Meet Jeffrey S. A. Stringer, MD, who is based in Chapel Hill and holds appointments in both the School of Medicine (OBGYN) and the School of Public Health (Epidemiology). Between 2001 and 2012, he lived in Lusaka, Zambia, where he established and led the Centre for Infectious Disease Research in Zambia (CIDRZ). Stringer’s research focuses on prevention of mother-to-child HIV transmission, clinical epidemiology, and obstetrical outcomes. He has served as PI for over $190 million in grant and contract funding for research, training, and clinical work in Africa, and currently holds active grants from the NIH, Seattle Children’s Hospital / Bill and Melinda Gates Foundation, and the Doris Duke Charitable Foundation. Stringer is the author of many scientific articles (see PubMed link, below). He now lives in Chapel Hill with his spouse, Dr. Elizabeth Stringer (associate professor of Maternal-Fetal Medicine at UNC), their three children, and an ill-behaved Rhodesian Ridgeback. 

Don’t miss his Camran Nezhat, M.D., Lectureship in Innovations in Medicine titled Are Robots Coming for Our Jobs? How AI is Revolutionizing Obstetric Ultrasound on Tuesday, October 22, 8:30 – 9:15 AM. Sonography is a lynchpin tool in the practice of reproductive endocrinology and clinical obstetrics. However, its widespread implementation is hindered in some settings – particularly low- and middle-income countries and maternity care deserts in the United States – owing to the requirement of specialized training, expensive equipment, and skilled interpretation. Many recent innovations, including the widespread availability of lower-cost ultrasound probes and artificial intelligence (AI) interpretation of ultrasound images, have begun to allow access to ultrasound in settings where it was previously not feasible. These innovations are similarly important in well-resourced settings, where they have begun to improve diagnostic performance and clinical workflow. This lecture will introduce the topic of computer vision and how deep learning AI algorithms are able to interpret medical images, then move on to its practical application in ultrasound with specific examples of interest to the practicing REI or obstetrician.

Click here to learn more about this plenary lecture.  https://asrm.confex.com/asrm/2024/meetingapp.cgi/Session/6095